Prognostic Utility of the Gleason Grading System Revisions and Histopathological Factors Beyond Gleason Grade.

Gleason score histopathology prognosis prognostic markers prostate cancer virtual microscopy

Journal

Clinical epidemiology
ISSN: 1179-1349
Titre abrégé: Clin Epidemiol
Pays: New Zealand
ID NLM: 101531700

Informations de publication

Date de publication:
2022
Historique:
received: 26 09 2021
accepted: 14 12 2021
entrez: 27 1 2022
pubmed: 28 1 2022
medline: 28 1 2022
Statut: epublish

Résumé

The International Society of Urological Pathology (ISUP) revised the Gleason system in 2005 and 2014. The impact of these changes on prostate cancer (PCa) prognostication remains unclear. To evaluate if the ISUP 2014 Gleason score (GS) predicts PCa death better than the pre-2005 GS, and if additional histopathological information can further improve PCa death prediction. We conducted a case-control study nested among men in the National Prostate Cancer Register of Sweden diagnosed with non-metastatic PCa 1998-2015. We included 369 men who died from PCa (cases) and 369 men who did not (controls). Two uro-pathologists centrally re-reviewed biopsy ISUP 2014 Gleason grading, poorly formed glands, cribriform pattern, comedonecrosis, perineural invasion, intraductal, ductal and mucinous carcinoma, percentage Gleason 4, inflammation, high-grade prostatic intraepithelial neoplasia (HGPIN) and post-atrophic hyperplasia. Pre-2005 GS was back-transformed using i) information on cribriform pattern and/or poorly formed glands and ii) the diagnostic GS from the registry. Models were developed using Firth logistic regression and compared in terms of discrimination (AUC). The ISUP 2014 GS (AUC = 0.808) performed better than the pre-2005 GS when back-transformed using only cribriform pattern (AUC = 0.785) or both cribriform and poorly formed glands (AUC = 0.792), but not when back-transformed using only poorly formed glands (AUC = 0.800). Similarly, the ISUP 2014 GS performed better than the diagnostic GS (AUC = 0.808 vs 0.781). Comedonecrosis (AUC = 0.811), HGPIN (AUC = 0.810) and number of cores with ≥50% cancer (AUC = 0.810) predicted PCa death independently of the ISUP 2014 GS. The Gleason Grading revisions have improved PCa death prediction, likely due to classifying cribriform patterns, rather than poorly formed glands, as Gleason 4. Comedonecrosis, HGPIN and number of cores with ≥50% cancer further improve PCa death discrimination slightly.

Sections du résumé

BACKGROUND BACKGROUND
The International Society of Urological Pathology (ISUP) revised the Gleason system in 2005 and 2014. The impact of these changes on prostate cancer (PCa) prognostication remains unclear.
OBJECTIVE OBJECTIVE
To evaluate if the ISUP 2014 Gleason score (GS) predicts PCa death better than the pre-2005 GS, and if additional histopathological information can further improve PCa death prediction.
PATIENTS AND METHODS METHODS
We conducted a case-control study nested among men in the National Prostate Cancer Register of Sweden diagnosed with non-metastatic PCa 1998-2015. We included 369 men who died from PCa (cases) and 369 men who did not (controls). Two uro-pathologists centrally re-reviewed biopsy ISUP 2014 Gleason grading, poorly formed glands, cribriform pattern, comedonecrosis, perineural invasion, intraductal, ductal and mucinous carcinoma, percentage Gleason 4, inflammation, high-grade prostatic intraepithelial neoplasia (HGPIN) and post-atrophic hyperplasia. Pre-2005 GS was back-transformed using i) information on cribriform pattern and/or poorly formed glands and ii) the diagnostic GS from the registry. Models were developed using Firth logistic regression and compared in terms of discrimination (AUC).
RESULTS RESULTS
The ISUP 2014 GS (AUC = 0.808) performed better than the pre-2005 GS when back-transformed using only cribriform pattern (AUC = 0.785) or both cribriform and poorly formed glands (AUC = 0.792), but not when back-transformed using only poorly formed glands (AUC = 0.800). Similarly, the ISUP 2014 GS performed better than the diagnostic GS (AUC = 0.808 vs 0.781). Comedonecrosis (AUC = 0.811), HGPIN (AUC = 0.810) and number of cores with ≥50% cancer (AUC = 0.810) predicted PCa death independently of the ISUP 2014 GS.
CONCLUSION CONCLUSIONS
The Gleason Grading revisions have improved PCa death prediction, likely due to classifying cribriform patterns, rather than poorly formed glands, as Gleason 4. Comedonecrosis, HGPIN and number of cores with ≥50% cancer further improve PCa death discrimination slightly.

Identifiants

pubmed: 35082531
doi: 10.2147/CLEP.S339140
pii: 339140
pmc: PMC8784949
doi:

Types de publication

Journal Article

Langues

eng

Pagination

59-70

Informations de copyright

© 2022 Zelic et al.

Déclaration de conflit d'intérêts

Mr Luca Lianas reports grants from European Commission, grants from Sardinian Regional Authority, during the conduct of the study. Dr Cecilia Mascia reports grants from European Commission, grants from Sardinian Regional Authority, during the conduct of the study. The authors report no conflicts of interest in this work.

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Auteurs

Renata Zelic (R)

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Francesca Giunchi (F)

Pathology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Jonna Fridfeldt (J)

Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Jessica Carlsson (J)

Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Sabina Davidsson (S)

Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Luca Lianas (L)

Data-Intensive Computing Division, Center for Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy.

Cecilia Mascia (C)

Data-Intensive Computing Division, Center for Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy.

Daniela Zugna (D)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.

Luca Molinaro (L)

Division of Pathology, A.O. Città della Salute e della Scienza Hospital, Turin, Italy.

Per Henrik Vincent (PH)

Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Department of Urology, Karolinska University Hospital, Stockholm, Sweden.

Gianluigi Zanetti (G)

Data-Intensive Computing Division, Center for Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy.

Ove Andrén (O)

Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Lorenzo Richiardi (L)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.

Olof Akre (O)

Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Department of Urology, Karolinska University Hospital, Stockholm, Sweden.

Michelangelo Fiorentino (M)

Pathology Service, Maggiore Hospital, University of Bologna, Bologna, Italy.

Andreas Pettersson (A)

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH